汉语声调远距离规则的内隐学习及其迁移效应

内隐学习研究领域的一个重要问题是内隐学习获得的知识究竟是什么,即内隐学习获得的知识究竟是底层的抽象规则还是表面的特征.研究以汉语声调的远距离水平映射这一远距离规则为材料,通过对表面特征和底层规则之间的分离操作,在控制组块和重复结构等表面特征的条件下,探讨声调远距离规则的习得和迁移,结果发现被试能够内隐地习得和迁移汉语平仄声调的水平映射规则,证实了内隐学习确实能够获得底层的抽象规则,为内隐学习的抽象性问题提供了新的证据.     

先前知识经验对远距离水平映射规则内隐学习的限制

先前研究发现远距离规则能够被内隐地习得和迁移,表明内隐学习获得的知识是底层的抽象规则,那么这一抽象规则的习得和迁移是否会受到先前知识经验的限制?研究采用汉语声调的远距离水平映射规则为材料,通过创设不符合平仄知识经验的任意声调水平映射规则,在控制组块和重复结构等表面特征的条件下,探讨先前知识经验是否限制了远距离水平映射规则的内隐学习和迁移。结果发现相对于符合平仄知识经验的汉语声调水平映射规则,被试不能够内隐地习得和迁移任意声调的水平映射规则,表明先前知识经验在远距离水平映射规则内隐学习过程中发挥着重要作用。     

远距离规则的内隐学习使用了何种记忆存储器：来自神经网络模拟的证据

关于远距离规则的知识是如何被内隐学习的,研究尚未得出结论。该研究通过采用和人类被试相同的实验材料和程序,考察了简单循环网络模型（SRN）对两种汉语声调远距离规则——倒映和逆行规则的内隐学习。结果发现：1.在广泛的参数范围上,SRN能够学会倒映和逆行规则,表明模型的记忆缓冲器可以模拟人类远距离规则的内隐学习;2.SRN对倒映规则的学习比对逆行规则的学习更好,表明在功能上远距离规则的内隐学习可能优先使用了先进先出的记忆存储器及信息加工模式。该研究为探究远距离规则内隐学习的机制提供了新的证据和视角。     

汉语声调对称规则的内隐学习及变异性效应

关于内隐学习能否获得底层的抽象规则,研究一直存在争议。该研究通过有效地控制组块和重复结构等表面特征,并操纵规则所在背景的变异性大小,考察了两种汉语声调对称规则——逆行和倒映的内隐学习。结果发现,只有在背景变异较大时,被试才能够超越组块等表面特征,进而无意识地获得汉语声调对称规则的结构知识。该研究证明内隐学习能够获得抽象规则,并从背景变异性效应的角度为考察该问题提供了新的视角。     

选择性注意对听觉内隐学习的影响

内隐学习被认为是人类无意识、无目的获得复杂规则的自动化过程。已有研究表明, 在人工语法学习范式下, 视觉内隐学习的发生需要选择性注意。为了考察选择性注意对内隐学习的影响是否具有通道特异性, 本研究以90名大学生为被试, 以人工语法为学习任务, 采用双耳分听技术, 在听觉通道同时呈现具有不同规则的字母序列和数字序列, 考查被试在听觉刺激下对注意序列和未注意序列构成规则的习得情况。结果发现：只有选择注意的序列规则被习得, 未选择注意的序列规则未能被习得。研究表明：在人工语法学习范式下, 只有选择注意的刺激维度能够发生内隐学习。选择性注意对内隐学习的影响具有跨通道的适用性, 不仅适用于视觉刺激, 也同样适用于听觉刺激。     

内隐学习中的知识习得及其无意识性测量*

本研究采用经典的人工语法范式,并引入迁移任务探讨在记忆和规则探索两种指导语条件下,被试所习得的究竟是规则还是组块？同时采用结构知识主观测量的方法,对内隐学习习得知识的无意识性进行测量。结果发现记忆指导语条件下的被试能成功区分合法串和非法串,即出现语法学习效应,但规则探索指导语条件下的被试并没有表现出语法或组块学习效应,结构知识的主观测量发现这种内隐学习的优势效应主要来自无意识结构知识的贡献;在迁移研究中发现附带学习组和有意学习组均在迁移任务上表现出语法学习效应,这表明在人工语法学习中所获得的语法规则是抽象的和可迁移的。     

序列位置内隐学习产生机制的实验研究

内隐学习是当今认知和学习领域继内隐记忆之后又一重要的研究课题。该研究利用序列反应时研究程式,通过两个实验,对序列位置内隐学习产生的机制进行了探讨。结果表明：（１）在序列反应时任务程式中,随着反应一刺激间隔的延长,序列位置内隐学习的学习量逐渐减少;（２）异形同模式迁移组和异形异模式迁移组被试间内隐学习量无显著差异,被试未能内隐地习得抽象的序列模式。说明序列位置内隐学习产生的基础是水平联结,在该实验条件下没有发现垂直联结存在的证据。     

内隐知识具有抽象性吗?——来自内隐序列学习迁移的证据

内隐知识是否具有抽象和概括性,已有研究有着不同的争议,而迁移是检验习得知识是否具有抽象性的有效手段。探索RSI从0 ms至1000 ms中5种条件下内隐序列学习的迁移差异,并试图证实随着RSI的变化,迁移发生从无到有的变化,以迁移来证明内隐知识的抽象性。结果发现:随着RSI的增加,迁移出现了从无到有的质变,证明了内隐知识可具有抽象性;内隐序列学习效应和转移组段的新异刺激效应共同促进了迁移的产生,纯粹的内隐序列学习是产生迁移的必要非充分条件,转移组段(新异刺激)则加速促进了内隐知识的学习;本实验条件下产生的不可知但可迁移的内隐知识具有边缘意识特点。     

内隐学习理论的新进展及其对专长研究的启示

内隐学习是近年来心理学领域的一个新兴的研究课题。该研究对近些年内隐学习理论的新进展进行了论述,主要表现在内隐学习的抽象性、内在表征机制、内隐学习和外显学习的相互关系以及内隐学习的应用领域等方面。内隐学习的这些新进展为专长获得的内在机制和专长习得途径方面的研究提供了新的视野。     

自闭症儿童的内隐学习假说：来自人工语法学习的证据

由于自闭症的症状和个体的内隐学习都主要涉及语言领域,研究者提出了内隐学习假说,认为自闭症症状可能部分来自于内隐学习缺陷。然而,目前的研究尚未得出一致的结论。该研究采用人工语法学习范式和无意义的汉字串材料,并严格控制材料的组块特征,考察了一般的自闭症儿童、年龄匹配的普通儿童以及年龄和智商匹配的智障儿童的内隐学习。结果发现：（1）普通儿童和智障儿童的内隐学习成绩都显著高于随机水平,表明他们能够内隐习得语法规则;（2）自闭症儿童的内隐学习成绩与随机水平没有显著差异,同时与两组对照组儿童的成绩也没有显著差异。这可能意味着,自闭症儿童语法规则的内隐学习既存在缺陷、又有所保留。该研究为自闭症儿童的内隐学习假说提供了新的来自语言领域的证据。     

Unconscious structural knowledge of tonal symmetry: Tang poetry redefines limits of implicit learning

The study aims to help characterize the sort of structures about which people can acquire unconscious knowledge. It is already well established that people can implicitly learn n-grams (chunks) and also repetition patterns. We explore the acquisition of unconscious structural knowledge of symmetry. Chinese Tang poetry uses a specific sort of mirror symmetry, an inversion rule with respect to the tones of characters in successive lines of verse. We show, using artificial poetry to control both n-gram structure and repetition patterns, that people can implicitly learn to discriminate inversions from non-inversions, presenting a challenge to existing models of implicit learning.     

Can musical transformations be implicitly learned?

The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowable chunks is provided by serialist or 12-tone music. The rules constitute operations over variables and could not be appreciated as such by a system that can only chunk elements together. A series of studies investigated the extent to which people could implicitly (or explicitly) learn the structures of serialist music. We found that people who had no background in atonal music did not learn the structures, but highly selected participants with an interest in atonal music could implicitly learn to detect melodies instantiating the structures. The results have implications for both theorists of implicit learning and composers who may wish to know which structures they put into a piece of music can be appreciated.     

The nature of the memory buffer in implicit learning: Learning Chinese tonal symmetries

Previous research has established that people can implicitly learn chunks, which (in terms of formal language theory) do not require a memory buffer to process. The present study explores the implicit learning of nonlocal dependencies generated by higher than finite-state grammars, specifically, Chinese tonal retrogrades (i.e. centre embeddings generated from a context-free grammar) and inversions (i.e. cross-serial dependencies generated from a mildly context-sensitive grammar), which do require buffers (for example, last in-first out and first in-first out, respectively). People were asked to listen to and memorize artificial poetry instantiating one of the two grammars; after this training phase, people were informed of the existence of rules and asked to classify new poems, while providing attributions of the basis of their judgments. People acquired unconscious structural knowledge of both tonal retrogrades and inversions. Moreover, inversions were implicitly learnt more easily than retrogrades constraining the nature of the memory buffer in computational models of implicit learning.     

Learning non-local dependencies

This paper addresses the nature of the temporary storage buffer used in implicit or statistical learning. Kuhn and Dienes [Kuhn, G., and Dienes, Z. (2005). Implicit learning of nonlocal musical rules: implicitly learning more than chunks. Journal of Experimental Psychology-Learning Memory and Cognition, 31(6) 1417-1432] showed that people could implicitly learn a musical rule that was solely based on non-local dependencies. These results seriously challenge models of implicit learning that assume knowledge merely takes the form of linking adjacent elements (chunking). We compare two models that use a buffer to allow learning of long distance dependencies, the Simple Recurrent Network (SRN) and the memory buffer model. We argue that these models - as models of the mind - should not be evaluated simply by fitting them to human data but by determining the characteristic behaviour of each model. Simulations showed for the first time that the SRN could rapidly learn non-local dependencies. However, the characteristic performance of the memory buffer model rather than SRN more closely matched how people came to like different musical structures. We conclude that the SRN is more powerful than previous demonstrations have shown, but it's flexible learned buffer does not explain people's implicit learning (at least, the affective learning of musical structures) as well as fixed memory buffer models do.     

时间节律的内隐学习及其特征:来自双维度SRT的证据

本文引入双维度SRT方法,以研究时间节律的内隐学习。在第一个实验中,时间节律的内隐学习得到了证明,双维度SRT方法的信度和效果也得到初步验证;实验二则从整体和局部启动角度比较了节律内隐学习和字母序列内隐学习的差异。两个实验得出结论:(1)节律信息可以被内隐地学习到;(2)节律内隐学习和字母序列内隐学习的显露时机不同,前者更加滞后;(3)两者的机制也不同,前者更倾向于以整体方式进行学习。     

Implicit learning of semantic preferences of English words by Chinese learners

The aim of the present study was to explore whether Chinese learners could implicitly learn the semantic preferences of novel English words. In training, participants learned four novel verbs and were exposed to a set of verb-noun phrases that included these new words. What the participants were not told was that the use of the verbs depended on the concreteness of the nouns (i.e., the semantic preference rule). In testing, participants were required to choose between two possible verbs (one of which violated the semantic preference rule) for nouns that never occurred in training. The results showed that participants acquired unconscious knowledge of semantic preferences under incidental learning conditions, as measured by verbal reports and structural knowledge attributions. Our results provide further evidence for implicit learning of semantic preferences, suggesting that implicit learning is an important mechanism in the acquisition of L2 collocations.     

Implicit sequence learning in ring‐tailed lemurs (Lemur catta)

Implicit learning involves picking up information from the environment without explicit instruction or conscious awareness of the learning process. In nonhuman animals, conscious awareness is impossible to assess, so we define implicit learning as occurring when animals acquire information beyond what is required for successful task performance. While implicit learning has been documented in some nonhuman species, it has not been explored in prosimian primates. Here we ask whether ring‐tailed lemurs (Lemur catta) learn sequential information implicitly. We tested lemurs in a modified version of the serial reaction time task on a touch screen computer. Lemurs were required to respond to any picture within a 2 × 2 grid of pictures immediately after its surrounding border flickered. Over 20 training sessions, both the locations and the identities of the images remained constant and response times gradually decreased. Subsequently, the locations and/or the identities of the images were disrupted. Response times indicated that the lemurs had learned the physical location sequence required in original training but did not learn the identity of the images. Our results reveal that ring‐tailed lemurs can implicitly learn spatial sequences, and raise questions about which scenarios and evolutionary pressures give rise to perceptual versus motor‐implicit sequence learning.